- Python Programming
- Model Evaluation
- Artificial Neural Networks
- Data Transformation
- Deep Learning
- Keras (Neural Network Library)
- Cloud Deployment
- MLOps (Machine Learning Operations)
- Data Pipelines
- Tensorflow
- Machine Learning
- Model Deployment
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Sebastian Engel
December 2, 2021
13 hours (approximately)
Sebastian Engel's account is verified. Coursera certifies their successful completion of Build, Train and Deploy ML Models with Keras on Google Cloud
What you will learn
Design and build a TensorFlow input data pipeline.
Use the tf.data library to manipulate data in large datasets.
Use the Keras Sequential and Functional APIs for simple and advanced model creation.
Train, deploy, and productionalize ML models at scale with Vertex AI.
Skills you will gain
